Skills

Communication Python SQL NoSQL Big Data Data Governance Data Engineering CI/CD DevOps Problem-solving Databases Analytical Skills Azure AWS Analytics GCP ETL Processes

Job Specifications

We are seeking a skilled AI/ML Database Engineer residing in Texas with 5 or more years’ experience to design, build, and maintain scalable data systems that support analytics, applications, and emerging AI/ML use cases. This is a hybrid role (working onsite at least 1 day a week) requiring strong expertise in data modeling, data pipelines, and modern database technologies across cloud environments. The ideal candidate combines solid computer science fundamentals with hands-on experience in both traditional and next-generation data platforms.

Responsibilities

• Design and implement data models and database architectures to support business and technical requirements

• Develop, optimize, and maintain ETL processes and data pipelines for reliable data ingestion and transformation

• Work with structured and unstructured data across multiple storage technologies

• Implement and manage SQL and NoSQL databases for performance, scalability, and reliability

• Write clean, efficient Python code for data processing, automation, and integration

• Deploy and manage vector databases to support AI/ML and semantic search use cases

• Collaborate with data scientists, engineers, and application teams to enable data-driven solutions

• Ensure data quality, security, and governance best practices

• Monitor and troubleshoot database performance and reliability issues

Required

• Strong knowledge of data modeling and database design principles

• Experience building and maintaining ETL and data pipeline solutions

• Solid understanding of data structures (trees, graphs, hash tables, etc.)

• Hands-on experience with SQL and NoSQL databases

• Proficiency in Python for data engineering tasks

• Experience with vector databases (e.g., Pinecone, Weaviate, Chroma)

• Familiarity with at least one major cloud platform (GCP, AWS, or Azure)

• Strong problem-solving and analytical skills

• Good communication and collaboration abilities

Preferred

• Experience supporting AI/ML or GenAI workloads

• Knowledge of data governance and data security frameworks

• Experience with big data technologies or distributed systems

• DevOps/DataOps experience (CI/CD, containerization, orchestration)

About the Company

Though the eStaff name is new to the industry, we have over 25 years of hands-on experience in acquiring just the talent you need. We have coupled this expertise with the most effective modern technology in order to bring you the level of service you deserve but seldom receive. Our long history of meeting the needs of such companies as Hewlett Packard, Verizon Communications, Seiko, Raytheon, CSC and many other major players has provided a unique combination of process and technology that can save you and your organization t... Know more